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STUDY	DESIGNS
Types	of	epidemiological	studies
• Types	of	studies Alternative	name Unit	of	study	
• OBSERVATIONAL	STUDIES
– Descriptive	studies
– Analytical	studies
• Ecological	 Correlation	 Populations
• Cross-sectional Prevalence Individuals
• Case-control Case-reference Individuals
• Cohort Follow-up Individuals
• EXPERIMENTAL	STUDIES (Intervention	Studies)
– Randomized	 control	trials Clinical	Trials Patients
– Field	trials Healthy	People
– Community	 trial Community	 studies			 Communities
Difference	between	Descriptive	and	Analytical	Epidemiology
Descriptive Epidemiology Analytical	Epidemiology
Only	one	group	studies At	least	two	groups	are	studied	for	
comparison	
At	the start	of	study	there	is	no	
explicit	hypothesis	regarding	cause	
effect	 relationship	
At	the	start	of	the	study there	is	definite	
hypothesis	regarding	an	exposure	
possibly	causing	an	outcome.	
The	study	ends	in	development	 of	
possible	hypothesis	regarding	cause	
and	effect	relationship	 but	does	not	
confirm or	reject	such	hypothesis	
At	the	end	of	the	study	it	confirms	or	
rejects	the	hypothesis with	which	it	
started
Cross-sectional	studies
An	“observational”	design	that	surveys	
exposures	and	disease	status	at	a	single	point	
in	time	(a	cross-section	of	the	population)
Time
Study	only	exists	at	this	point	in	time
Reasons	for	doing	a	cross-sectional	study
• To	assess	the	burden	of	disease	in	a	
population	and	to	assess	the	need	for	
health	services.
• To	compare	the	prevalence	of	disease	in	
different	populations.
• To	examine	trends	in	disease	prevalence	
or	severity	over	time.
Cross-sectional	Studies:	characteristics
• Exposure	and	disease	outcomes	are	determined	
simultaneously
• Provides	a	snap	shot	view	and	hence	measures	
prevalence,	not	incidence	of	disease;	Example:	
community	surveys
• Know	the	existence	of	disease	but	not	the	duration
• Often	used	to	study	conditions	that	are	relatively	
frequent	with	long	duration	of	expression	(nonfatal,	
chronic	conditions)
• Not	suitable	for	studying	rare	or	highly	fatal	diseases	or	
a	disease	with	short	duration	of	expression
• Examining	effects	on	physiologic	variables	(e.g.	Liver	
enzyme	levels,	blood	pressure,	lung	function)
Where	can	we	do	a	cross	sectional	study
• Any	setting	or	location
– Community
– Schools
– Worksite
– Hospitals
Analytical	epidemiology
• The	subject	of	interest	is	the	individual	within	
the	population.
• The	object	is	not	to	formulate,	but	to	test	
hypotheses.
• Types- Case	Control	study	and	Cohort	study
• We	can	determine
– Whether	or	not	a	statistical	association	exists	
between	a	disease	and	a	suspected	factor
– If	one	exists,	the	strength	of	association
Case	control	study	
Exposed
Cases
Non-exposed
Exposed
Controls
Non-exposed
Study	population
Definition	of	a	Case-Control	Study
• A	method	of	sampling	a	population	in	which
– cases	are	identified	and	enrolled,	and
– a	sample	of	the	population	(controls)	that	
produced	the	cases	is	identified	and	enrolled.
• - Exposures	are	determined
– for	individuals	in	both	groups.
When	to	conduct	a	case-control	study?
• When	disease	has	long	latent	period
- Ex:	Cancer,	cardiovascular	disease
• When	the	disease	is	rare
– Ex:	Studying	risk	factors	for	birth	defects
•	When	exposure	data	are	expensive	or	difficult	
to	obtain
- Ex:	Pesticide	levels	in	blood
Scientific	principles	for	Case	Control	study
• Define	exposure	beforehand
• Define	inclusion	exclusion	criteria	for	cases
• Exclude	from	controls
– with	early	signs	of	outcome	or	contra	
indications	(or	no	chance	at	all)	of	exposure
• Minimize	recall,	detection	biases
• Record	unknown	exposure
• – as	unknown,	not	absent
• Manage	participant	bias
Five	criteria	for	case-control	studies
1.	Both	cases	and	controls
- from	the	same	population	base
2.	Controls
-independent	of	exposure	and	represent	non-diseased	
in	base	population
3.	Disease
- ruled	out	in	controls
4.	Exposure	determination
-same	way	in	cases	and	controls
5.	Sampling
- ensures	that	had	“control”	been	a	“case”	it	would	have
been	sampled.
Steps	of	Case	Control	study
• Selection	of	cases
• Selection	of	controls
• Measurement	of	exposure
• Analysis	and	interpretation
Steps	for	case	control	study
Selection	of	cases	:- Identification	of	suitable	group	of	
cases	and	controls.	
(a) Case	definition	:	Diagnostic	criteria	of	case	specifically	
defined.
(b) Eligibility	:	Only	newly	diagnosed	cases.
Sources	of	case	:- Hospital	(single/	multiple),	general	
population	in	a	defined	geographical	area	during	
specified	time	period,	fairly	representative	of	all	cases	
in	community
Selection	of	controls	:- Controls	free	from	disease	and	
similar	to	all	cases	except	the	disease.
Source	of	controls	:- Hospital	–relatives	of	patients	or	pt.s of	
other	disease	and	Community	- neighbours,	general	
population.	
Random	sampling	done.	
Matching :	Important	to	ensure	comparability	of	cases	and	
controls	matched	by	age,	sex,	occupation,	socio-
economic	status	etc.
Measurement	of	exposure	:	It	is	obtained	by	interviews,	by	
questionnaires	or	by	studying	past	records.	
Important	to	study	the	association
Analysis	:	
• To	find	out	exposure	rates	among	cases	and	
controls	to	suspected	factors.	
• Estimation	of	risk	associated	with	eposure
(Odds	ratio)
Odd’s	ratio:	Measure	of	the	strength	of	
association	between	risk	factor	and	outcome.
Advantages	of	Case	Control	Study
1. Inexpensive	requires	only	a	few	subjects	and	
quick	results	obtained.
2. Well	suited	for	diseases	which	have	a	long	latent	
period.	(cancer,	AIDS,CVA,)
3. Well	studied	for	rare	outcome.	
4. Well	studied	for	conditions	for	which	medical	
care	is	sought.	
5. Helps	in	examine	the	risk	factors
Disadvantages:	
1. Not	a	good	method	for	the	study	of	rare	
exposure.	
2. Don’t	give	any	idea	of	incidence	or	prevalence	
only	gives	odds	ratio.	
3. Prone	to	various,	selection,	information,	bias	
recall	bias	and	observer	bias.
Bias	in	case	control	study
Bias	is	any	systematic	error	in	the	determination	of	the	
association	between	the	exposure	and	disease.
Bias	due	to	confounding	– Confounding	is	a	situation	
in	which	the	effect	or	association	between	an	exposure	
and	outcome	is	distorted	by	the	presence	of	another	
variable.
This	can	be	removed	by	matching.
Memory	or	Recall	bias	– When	cases	and	controls	are	
asked	questions	about	their	past	history,	it	may	be	
more	likely	for	the	cases	to	recall	the	existence	of	
certain	events	or	factors	than	controls	who	are	healthy	
persons.
Selection	Bias	– The	cases	and	controls	may	not	be	
representative	of	cases	and	controls	in	the	population.	
There	may	be	differences	between	the	characteristics	
between	cases	and	controls.
Berkesonian Bias	- The	bias	may	arise	because	of	different	
rates	of	admission	to	hospitals	for	people	with	
different	diseases.	9i.e.	Hospital	cases	and	controls).
Interviewer’s	bias	– Bias	may	occur	when	the	interviewer	
knows	the	hypothesis	and	also	knows	who	the	cases	
are.	This	prior	information	may	lead	him	to	question	
the	cases	more	thoroughly	than	controls	regarding	a	
positive	history	of	suspected	causal	factor.
Comparison	of	case	control	and	cohort	study	
Case	control	 Cohort	
Retrospective (backward	in	direction) Prospective (forward	in	direction)
From	outcome	to	exposure From	exposure	 to	outcome
Outcome	has	already	occurred	 Outcome	would	have	not	occurred	
however	in	retrospective cohort	the	
outcome	may	have	occurred	
Neither	incidence	nor	prevalence	 can be	
calculated	only	odd	ratio	calculated.
Calculate	the	incidence in	exposed	 and	
non-exposed	 and	Risk	Ratio	calculated.	
Results	obtained	quickly Takes	longer	time.	
Potential	problem	of	bias	(Recall,
Survivorship)
Not	an	issue	
Loss	of	follow	up	not	an	issue.	 Potential	problem	of	loss.
Cohort	study	
Disease+
Exposed
Disease	–
Non-exposed											Disease	+
Disease	-
Study	population
Concept	of	cohort	
Cohort is defined a group of people who share a
common characteristic or experience within a defined
time period (age, occupation, exposure)
Birth cohort, exposure cohort
Distinguishing features of Cohort study
1. Cohorts are identified prior to the appearance of the
disease under investigation.
2. The defined study group are observed for a period of
time to observe the frequency among them.
3. The study proceeds forward from cause to effect.
Types	of	cohort	study	:	
• Prospective	(observational):	data	on	exposure	status	
and	disease	outcome	are	not	available	at	the	outset	of	
the	study.
• Ambispective:	exposure	status	has	been	collected	in	
the	past	and	can	be	obtained	from	records,	but,	
disease	outcome	is	unknown	or	incompletely	known.
• Historical	(non	concurrent):	data	on	exposure	status	
and	disease	outcomes	is	available	from	historical	
records.
• Nested	case-control	design:	cases	and	controls	are	
drawn	from	the	cohort	study	population	(eliminates	
the	recall	bias	inherent	in	classical	case-control	
studies	AND	reduces	costs).
Elements	of	cohort	study	
1) Selection	of	study	subjects	
2) Obtaining	data	on	exposure
3) Selection	of	comparison	group	
4) Follow	up	
5) Analysis
Selection	of	study	subjects
a) General	population	
b) Special	groups	
i) Select	groups	
ii) Exposure	groups	
Obtaining	data	on	exposure	
1. Information	obtained	by	personal	interview	or	
mail	questionnaires	
2.		Review	of	records	
3. Medical	examination	or	special	test
4. Environmental	survey
Selection	of	comparison	groups	
i) Internal	comparison	– Single	cohort	enters	into	the	
study	and	on	the	basis	of	information	obtained,	the	
members	may	be	classified	into	several	comparasion
groups.
ii) External	comparison	– When	the	information	on	
degree	of	exposure	is	not	available,	it	is	necessary	to	
put	up	an	external	control.	Eg.	Smokers	and	non	
smokers,	cohort	of	radiologists	and	
ophthalmologists.	They	should	be	similar	in	
demographic	and	possibly	important	variables	under	
study.
iii) Comparison	with	general	population	rates	– If	none	
is	available,	comparison	between	general	population	
rates	of	same	geographic	area.
Follow	up	:	
i) Periodic	Medical	examination	of	cohort	
members	
ii) Reviewing	physicians	and	hospital	records	
iii) Routine	surveillance	of	death	records	
iv) Mailed	questionnaires	or	telephone	call	or	
periodic	home	visit.
Analysis	
i) Incidence	rate	of	outcome	among	exposed	and	non-
exposed.
ii) Estimation	of	risk
A) Relative	risk	(RR)	–
Incidence	of	disease	rate	among	exposed	X	100
Incidence	rate	among	exposed	
a) Attributable	risk	(AR)
Incidence	of	disease	rate	among	exposed	
- incidence	of	disease	rate	among	non-exposed
Incidence	rate	among	exposed	
X	100
Advantages	of	cohort	study	:	
1. Scientifically	stronger	design	compared	to	case	
control	or	cross	sectional	studies.	
2. Temporal	association	more	convincingly	
demonstrated.
3. No	recall	bias.	
4. Can	study	many	outcome	of	given	exposure.
5. Provide	direct	incidence	of	outcome	in	exposed	
and	non-exposed	RR	calculated.	
6. Results	are	not	biased	due	to	survivorship.	
7. Good	for	study	of	rare	exposure.	
8. Any	change	of	exposure	at	the	start	of	study	can	
be	recorded.
Disadvantage	of	cohort	study	:
1) Quite	expensive	
2) Needs	large	no.	of	subjects.	
3) Results	may	take	very	long	time.	
4) Ascertainment	bias	due	to	differential	
assessment	of	exposed	and	non-exposed.	
5) Some	subjects	may	cross	over.	Some	exposed	
may	leave	exposure	and	vice-versa	during	
study.
6) Inefficient	for	study	of	rare	outcome.
EXPERIMENTAL	EPIDEMIOLOGY	
1. Experimental	studies	are	similar	in	approach	to	
cohort	studies	excepting	that	the	study	condition	
are	under	direct	control	of	the	investigator.
2. There	is	some	action,	intervention	or	manipulation	
which	are	deliberate.	
AIM	OF	EXPERIMENTAL	STUDY	
1. To	provide	scientific	proof	of	aetiological	factor.	
2. To	provide	a	method	of	measuring	the	effectiveness	
and	efficiency	of	health	services	for	the	prevention	
control	and	treatment	of	diseases.	
TYPES	OF	EXPERIMENTAL	STUDIES	
1. Animal	study	
2. Human	study
Animal	studies	:	
1. Contributed	to	our	knowledge	in	Anatomy,	
Physiology,	Pathology,	Immunology,	Genetics	etc.	
2. Experimental	reproduction	of	human	diseases	in	
animals	to	confirm	aetiological	hypothesis	and	to	
study	the	pathogenesis.	
3. Testing	the	efficiency	of	preventive	and	therapeutic	
measures	like	vaccine	and	drugs.	
4. Completing	the	natural	history	of	diseases.	
Advantages	of	Animal	studies.	
1. Experimental	animals	can	be	bred	in	laboratories	
and	manipulated	easily	as	per	the	wish	of	the	
investigator.
2. The	Animals	multiply	rapidly.
Limitations	:	
1. All	Human	diseases	can	not	be	reproduced	in	
animals.	
2. All	the	conclusions	drawn	from	animal	
experiments	can	not	be	strictly	applicable	to	
human	beings.	
Human	Experiment	
1. Required	to	investigate	disease	aetiology.
2. To	evaluate	preventive	and	therapeutic	
measures.	
3. More	important	for	diseases	that	can	not	be	
reproduced	in	animals.
Important	considerations:
1. Unquestionably	most	inclusive	approach	to	
scientific	problem.
2. Ethical	and	logistic	consideration	often	
prevent	its	application	to	study	the	disease	in	
human	beings.	
3. The	volunteers	are	to	be	made	fully	aware	of	
all	possible	consequences	of	the	experiment.	
4. It	is	equally	on	ethical	if	a	drug	or	procedure	is	
brought	to	general	use	without	establishing	
the	effectiveness.
Types	of	Experimental	study	:	
1. Randomised	controlled	trials	
2. Non-randomised	trials.
Human	experiments
Study designs
Randomized controlled trials (RCT) are scientific investigations that
examine and evaluate the safety / efficacy of new drugs or
therapeutic/ preventive proceduresusinghuman subjects
RCT can be used to:
§ evaluatethe safety of a new drug in healthyhumanvolunteers
§ assess treatment benefitsin patientswitha specificdisease
§ compare a new drug against existing drugs or against dummy
medications(placebo)
The result of the studies are considered to be the most valued data
in the era of evidence-basedmedicine.
40
Randomized
– Eliminate	bias	in	selection	 /	allocation
– Balances	all	confounders:	known	or	unknown
Controlled
– Intervention	 compared	to	a	control
– Control:	active	or	placebo
– Both	groups	identical	except	for	intervention	 /	exposure
– Investigator	has	control	over	the	process
Trial
– Experimental	intervention
– Effects	 unknown	to	investigator
41
Population	hierarchy	for	intervention	study
Reference	population
Experimental	 population
Exclusion	criteria
Informed	consent
Excluded
Refused
Study	population
Intervention	group Control	group
Outcome
Losses	to	follow-up Losses	to	follow-up
Random	allocation
Randomized	Controlled	Trial	(RCT)
Steps	of	Randomised	controlled	trials
1. Drawing	of	protocol	
2. Selecting	reference	and	experimental	
population.
3. Randomisation	
4. Manipulation	or	intervention.	
5. Follow	up	
6. Assessment	of	outcome
DESIGN OF A RANDOMISED CONTROL TRIAL
SELECT SUITABLE POPULATION
(Reference or Target Population)
SELECT SUITABLE SAMPLE
(Experimental or Study Population
RANDOMISE
EXPERIMENTAL GROUP CONTROL GROUP
MANIPULATION AND FOLLOW - UP
ASSESMENT
45
1. Drawing	of	Protocol	:	
(a) It	specifies	the	aims	and	objectives.
(b) Questions	to	be	answered
(c) Criteria	for	selection	of	study	and	control	group.	
(d) Size	of	sample	
(e) Procedure	for	allocation	of	subject	into	study	and	
control	group.	
(f) Treatment	to	be	applied	when	and	where	and	
how	to	what	kind	of	patients.	
(g) Standardisation	of	working	procedures	and	
schedules.	
(h) Responsibility	of	the	parties	involved	in	the	trial.	
(i) If	needed	a	pilot	study	to	study	the	feasibility,	
acceptability,	efficiency	of	certain	procedures.
Selecting	reference	and	experimental	population	:	
• Reference	population	is	that	population	to	
which	the	findings	of	the	trial	if	successful	are	
to	be	applied.	
• This	population	may	be	the	whole	mankind	or	
be	limited	to	certain	population	in	specific	age,	
sex,	occupation	and	socio-economic	group.	
Experimental	or	study	population	
• It	is	derived	from	reference	population.	
• Ideally	randomly	chosen.
• The	experimental	population	is	defined	and	its	
members	are	invited	to	participate	in	the	study.
Better	to	choose	a	stable	population.
Co-operation	which	assured	to	avoid	losses	to	
follow	up.
Criteria	of	the	participating	volunteers.	
1. Give	informed	consent	to	participate	in	the	
study	and	informed	about	the	purpose,	
procedure	and	possible	dangers	of	the	trial.	
2. Should	be	representative	of	reference	
population.
3. Should	be	eligible	for	the	trial.
Randomisation	
Participants	are	allocated	in	to	two	groups.	
1)	study	group	:	To	receive	preventive	and	
therapeutic	manoeuvres.
2)	control	group	:	Not	to	receive	any	intervention.
• Randomisation	is	an	attempt	to	eliminate	bias	and	
allow	for	comparability.
• The	study	population	can	be	can	be	randomly	
allocated	to	study	or	control	group.
Manipulation	:
• After	group	formation	intervention	or	
manipulation	are	done.	Delivered	application	or	
withdrawal	of	suspected	causal	factor.
• A	drug,	vaccine	or	a	new	procedure	is	intervened	
whose	effect	is	studied.
Follow	up	:	
• Examination	of	both	groups	at	defined	intervals	
of	time	in	a	standard	manner	with	equal	
intensity	within	the	same	circumstances.	
• There	will	be	certain	loses	due	to	death,	
migration	or	due	to	loss	of	interest.	This	is	
called	attrition.
6.	Assessment	:
Assessment	is	done	in	terms	of	the	outcome.	
Positive	result	– Reduce	the	incidence	of	severity	
of	disease	and	cost	to	health	services.	
Negative	result	– Frequency	of	site	effects	and	
complication	more.	
The	difference	of	result	in	both	groups	tested	
vigorously	for	any	statistical	significance.	
Biases	encountered	
1. Subject	variation	
2. Observer	variation	
3. Bias	in	evaluation
To	overcome	bias	the	technique	of	blinding	is	
adopted.	
1. Single	blind	trial	:	The	participants	are	unaware	
to	which	group	they	belong.	(study/	control)
2. Double	blind	trial	:	The	investigator	or	the	
participant	do	not	know	the	group	allocation.	
3. Triple	blind	trial	:	The	participants,	investigators	
and	the	analysers	do	not	know	about	the	
allocation	of	groups.	This	method	is	the	best.
Types	of	Randomized	Controlled	Trials
1. Clinical Trials
2. Preventive Trial
3. Risk Factor Trials
4. Cessation Experiment
5. Trial of etiological agents
6. Evaluation of health services
54
Types	of	Randomized	Controlled	Trials
1. Clinical Trials:
Concerned	with	evaluating	therapeutic	agent,	
drugs/interventions
a) Evaluation	of	beta	blockers	in	reducing	cardiovascular	
mortality	in	patient’s	surviving	the	acute	phase	of	
myocardial	infarction.
b) Trials	of	aspirin	on	cardiovascular	mortality	and	beta	
carotene	on	cancer	incidence.
c) Randomized	controlled	trial	of	coronary	bypass	surgery	
for	the	prevention	of	myocardial	infarction.
55
2. Preventive Trial
a) Vaccines	
b) Chemo-prophylactic	drugs
Analysis	of	preventive	trials	must	result	in	
clear	statement	about	benefits	to	community,	
risk	involved	and	cost	to	health
3. Risk Factor Trials
Investigator	intervenes	to	interrupt	the	
usual	sequence	in	the	 development	of	
disease	for	those	individuals	who	have	risk	
factor	 for	developing	the	disease
- Primary	prevention	of	CHD	using	clofibrate to	lower	serum	
cholesterol
4. Cessation Experiment
An	attempt	is	made	to	evaluate	the	
termination	of	a	habit	which	is	 considered	to	
be	causally	related	to	disease
- Cigarette	smoking	and	lung	cancer
57
5. Trial of etiological agents
To	confirm	or	refute	an	etiological	
hypothesis
- Retrolental fibroplasia	and	administration	of	oxygen	to	premature	
babies.
6. Evaluation of health services effectiveness
Domiciliary	Vs	Hospital	Treatment	in	
tuberculosis.
- Domiciliary	treatment	of	PTB	was	as	effective	as	more	costlier	
hospital	or	sanatorium	treatment
58
Phases	of	clinical	trials	
Phase	– I	Trial	done	on	group	of	healthy	individuals	to	know	safety,	
efficacy	and	the	side	effects	
Phase	– II	carried	in	diseased	group	to	know	safety	and	efficacy	done	in	
multiple	centers.
Phase	– III	carried	in	thousands	of	people	to	study	safety,	efficacy	and	
whether	fit	for	manufacturing.	Determine	the	effectiveness	
(overall	benefit/risk-cost	assessment)	of	new	therapies	relative	to	
standard	therapy
Phase	– IV	:Post-marketing study	as	the	drug	has	already	been	granted	
regulatory	approval/license.
• continuous	on	going	process	to	know	the	long	term	effects,
additional	safety	information,	rare	side	effects.	Often	non	
randomized
Types	of	study	design
1. Concurrent	parallel	study	design	
2. Cross	over	study	design		
Non-Randomized	trials	
1. Uncontrolled	trials	– no	comparison	group
2. Natural	experiment	– Smokers	and	
nonsmokers
3. Before	and	after	comparison	studies	– with	
or	without	control
DEFINED POPULATION
RANDOMIZED
NEW
TREATMENT
CURRENT
TREATNENT
IMPROVED NOT IMPROVED IMPROVED NOT IMPROVED
DESIGN OF A RANDOMISED TRIALPARALLEL STUDY DESIGN
Patients are randomized into two groups: the new treatment or to the standard treatment
and followed-up, to determine the effect of each treatment in parallel groups
61
RANDOMIZED
GROUP	1
GROUP	1
GROUP	2
GROUP	2
GROUP	2
GROUP	2
GROUP	1
GROUP	1
OBSERVED
OBSERVED
THERAPY	A THERAPY	B
CROSSOVER	STUDY	DESIGN
randomize patients to different sequences of
treatments, but all patients eventually get all
treatments in varying order. The patient act as,
his/her own control
Time	for	elimination	 	/																													carry	over	effect
62
SUBJECTS	RANDOMIZED
RAMIPRIL PLACEBO
VITAMIN	E PLACEBO VITAMIN	E PLACEBO
FACTORIAL	DESIGN	USED	IN	STUDY	OF	RAMIPRIL	&	VITAMIN	E
The	HOPE	Study:	 Ramipril	vs	Placebo;	 Vitamin	E	vs	Placebo
Both	Ramipril	&	
Vitamin	E	(a)	
Vitamin	E	Only	(b)
Ramipril	only
(c)
Neither	Ramipril
Nor	Vitamin	E	(d)
Ramipril	
+
-
RAMIPRIL
+
-
VITAMIN	E
|
+
VITAMINE
-
+
Both	Ramipril	&	
Vitamin	E	(a)	
Vitamin	E	Only	(b)
Ramipril	only
(c)
Neither	Ramipril
Nor	Vitamin	E	(d)
Both	Ramipril	&	
Vitamin	E	(a)	
Vitamin	E
Only	(b)
Ramipril	only
(c)
Neither	Ramipril
Nor	Vitamin	E	(d)
RAMIPRIL
+
-
Factorial	design	of	the	study	
of	Ramipril	&	Vitamin	E	in	
2x2	table
Factorial	design	studying	the	
effects	of	Ramipril	(pink	
cells)	vs	No	Ramipril	(ac	vs	
bd)*
Factorial	design	studying	the	
effects	of	Vitamin	E	versus
No	Vitamin	E	(ab	vs	cd)*
VITAMIN	E
-
+
End Points (Outcome Measures)
• Clinical outcome (e.g, death, stroke, BP )
• Symptom/ sign
• Lab abnormality
2 types, depending on nature :
• Hard end points
• Surrogate end points
65
Hard End Points SurrogateEnd Points
A biomarker intended to
substitute for a clinical
end point
• HbA1c
• Serum cholesterol
levels
66
• Generally clinical end-points
• Death due to any cause
• Death due to cardiovascular /
diabetic causes
• Non-fatal myocardial
infarction/ strokes
• End stage renal disease
• Time to clinical event
SUMMARY
Different	studies	have	different	uses
Objective Type	of	study
Prevalence Cross-sectional
Incidence Cohort
Causal	association Cohort
Case-control
Prognosis Cohort
Natural	history	of	disease Cohort
Treatment	effect Randomised	Controlled	Trial
Hierarchy	of	studies
Case	report
Case	series
Cross	sectional	studies
Case	control	studies
Cohort	Studies
Randomized	controlled	trials
Systematic	reviews	and	Metaanalysis

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