Eric Ohuma Senior Medical Statistician University of Oxford Centre for Statistics in Medicine amp Centre for Tropical Medicine and Global Health A lui che le vigilanze tutto ID: 919904
Download Presentation The PPT/PDF document "T hinking statistically" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
Thinking statistically
Eric Ohuma
Senior Medical Statistician
University of Oxford
Centre
for Statistics in
Medicine & Centre for Tropical Medicine and Global Health
Slide2A
lui
che le vigilanze, tutto è rivelata.
To one who watches, everything is revealed.Italian proverb.
S
cience
is built upon observations.
Slide3question
design
data
analysis
interpretation
Study timeline
PUBLICATION!!!!!!!
….but what if things went wrong?!?
Slide4Aims of researchClinical and epidemiological research studies may have various aims:
To quantify (e.g. prevalence of a disease in community)
To compare (which intervention is better?)
To predict (who gets cancer?)To assess association To explore aetiology (exposure causing outcome)…
Slide5Main elements of research Clear/precise question(s)
Research Design
Who to study
What to measure and whenWhat interventions to make, and when (if any)How large a sampleMany difficult decisions, so we need a
protocol
Slide6Measurement “It is difficult to think of anything in medicine that does not, directly, or indirectly, depend on counting or measurement.” Mainland (1952)
“Scientists ought to view their general research objective as one of measurement” Poole et al. (1984)
“Measurement error is one of the most important considerations in clinical medicine, but the effect of measurement error on clinical practice continues to be underestimated.” McDonough (1997)
6
Slide7Measurement: Factors that can affect measurements Quantity being measured varies
e.g. blood pressure, ejection fraction
The operator
Between and within operator variability Skill/experience of operator EquipmentWith-machine errorBetween-machine variation Ambient factors e.g. temperaturePatient’s behaviour (e.g. recent diet, exercise)
Digit preferenceKnowledge (e.g. clinical history, previous measurement) 7
Slide8Exercise
8
Slide9The example of Zika-virus and
microcephaly
researchEmergency, feasibility, causality
: constraints on the design of epidemiological studies
Slide10Context
Zika
virus: First
discovered in Uganda in 1948Transmission by mosquito bite (mainly
Aedes spp.); sexual transmission is also reportedDengue-like fever illness, with associated neurological symptomsRecent spread of the virus since 2010: - reported to cause outbreaks in several islands in the Pacific ocean (Micronesia,
Polynesia
…)
- identified in several African and Asian countries - causing a major outbreak in Brazil, and more largely in Latin America and Carribean since 2015An international public health emergency
was declared in 2016, related to the description of neurological defects in newborns (microcephaly) associated with Zika infection during pregnancy.
Slide11Context
Recent
spread of the virus
since 2010: - reported to cause outbreaks in
several islands in the Pacific ocean (Micronesia, Polynesia…) - identified in several African and Asian countries - causing a major outbreak in Brazil, and more largely in Latin America and Carribean since 2015An international public health emergency was declared in 2016 by WHO related to the description of neurological defects
in
newborns
(microcephaly) associated with Zika infection during pregnancyBefore 2015, almost nothing was known or reported on Zika virus and the
consequences of infection during pregnancy on central nervous system.
Slide12Zika: What
is
known so far…Zika
virus literature search in Pubmed: - 50 articles between 1948 and 2010 (1 report of CNS infection in mice) - Only 13 cases reported until 2007 - 70 articles between 2010 and 2015 (10 articles with keywords neurologic/nervous/microcephaly/guillain) - 1130 articles since January 2016 (468 articles with keywords neurologic/nervous
/
microcephaly
/guillain)
Slide13Question
Is
Zika
virus infection of the mother during
pregnancy causing neurological defects in newborn babies?
Slide14Question
Is
Zika
virus infection of the mother during
pregnancy causing neurological defects in newborn babies? This example will provide an insight of epidemiological research on causality progressing and in an emergency context… what are the processes, what are the types of studies that
answer
to different constraints and how does research progress towards always stronger evidence ?
Slide15Group ExerciseYou are the country representatives on emerging infections & global health and have
been asked to design a study to help understand
whether there is an association or causal pathway between
Zika virus during pregnancy and neurological defects among newbornsIn the next 45-60 minutes, discuss in your group about how you would go about it and the potential limitations of the chosen design and any specific country challenges you may face in answering this questionPrepare a 15 minute summary to present to the group.
15
Slide16Group ExerciseGet into your respective groups (4):
Group
Ivory Coast: Case-control
Group Uganda: RCTGroup Ethiopia: Cohort studyGroup Ghana: Case-series
16
Slide17Group Exercise: Things to Consider
Purpose:
- what do we want to learn (think about the question)2. Target population: - Research is conducted on a sample of individuals
- The sample should be representative of a population3. Selecting the participants - Case definition - Inclusion criteria - Exclusion criteria (reasons for excluding some (few?) participants) - can we define and measure all that needs to be defined and measured?Note that degree of selectivity affects inferences about the population (generalisability)
17
Slide18Group Exercise: Things to Consider4.
Recruitment
processes
- What information should be collected? - How quickly is it needed? - How will you act on the results?5. Analytical considerations
- sample size considerations i.e. what aspects you need to calculate this6. Limitations of the study - Limitations specific to the question and design7. Assessment of the level of evidence for your study8. Some recommendations/conclusion18
Slide19Case series
Review
available dataRetrospective
IncompleteClassification issues- Clarify the diversity of manifestationsFrança et al, Lancet 2016
Slide20Case-control study
Lancet 2016
design
case-control study
prospective8 public hospitals in Recife, BrazilOutcome=microcephalycases: neonates with microcephaly. 2 controls/case: neonates without microcephaly, matched by expected date of delivery and area of residenceExposure=Zika virus infectionExposed: presence of Zika virus-specific IgM or a positive RT-PCR in neonate serum sample.Possible confounders=Mother factors: education, age, exposure to Zika?Matched for date and place=
exposure
to
Zika, other environmental factorsresults32 cases; 62 controlsCases Controls OR (95%CI)
Slide21Cohort study
design
cohort study
prospective1 hospital in Tegucigalpa, HondurasInclusion=Pregnant
women upon their first antenatal consultationExposure=maternal Zika virus infectionExposed: suspected (fever + other clinical symptoms); probable/confirmed (presence of Zika virus-specific IgM, different tests)Outcome=microcephalydefined as an occipito-frontal circumference <2SD for sex and gestational age, using the INTERGROWTH-21st chartsAnalysis planned so far (because
lack
of means: case-cohort):samples of all mothers of a microcephaly casesamples of 200 mothers of a ‘normal’ baby in order to estimate prevalence/incidence of Zika-v infection in the general population
Slide22Timeline
of
presented
studies201320142015
2016
French
Polynesia Zika
outbreakSept13-Mar14March 16Math. modelling French Polynesia*Data collection for case-controlJan16-May16
Sept 16Case-controlExcess of microcephaly cases detected in BrazilOct15Brazil Zika
outbreakMar15-Sept15…July 16Surveillance analysisJune 16Ecological correlation,Case-series,Cohort study
protocol
Feb 16Case reportMay 16Case report* The excess of microcephaly cases could only be detected in the French Polynesia outbreak in the light of the situation in Brazil.
May 16Review on causality
Slide23Bias in observational studies
Selection bias
In a cohort study, are participants in the exposed and unexposed groups similar in all important respects except for the exposure?
In a case-control study, are cases and controls similar in all important respects except for the disease in question?Information biasIn a cohort study, is information about outcome obtained in the same way for those exposed and unexposed?In a case-control study, is information about exposure gathered in the same way for cases and controls?
ConfoundingCould the results be accounted for by the presence of a factor— e.g. age, smoking, sexual behaviour, diet—associated with both the exposure and the outcome (but not directly involved in the causal pathway)?
Slide24Evidence?
Bradford Hill
criteria
for evidence of causation…Strength of association:
yes (brazil, french polynesia: RR>20)Consistency: yes (brazil, polynesia, reports from Colombia)Specificity: yes (specific clinical presentation)Temporality: yes (individual infection and regional Zika outbreak occured before individual microcephaly cases and regional
peaks
)Plausibility: yes (other teratogenic viruses exist, like CMV or rubella; Zika virus found in fetal brains; infecting neural progenitor
cells in vitro)Coherence: yes neurotropic virus (Guillain barré syndrom in adults, animal models); infecting neural progenitor cells in vitroAnalogy: yes other teratogenic virusesBiologic gradient: n/a (infection is a Yes/No exposure)Experiment: no experimental model availableRasmussen et al, NEJM 2016
Slide25Other alternative designs
25
Slide26First alert from
surveillance: excessive
number
of microcephaly cases in BrazilPassive recording of
events shows an abnormality…PAHO epidemiological report Brazil – Sept 2016
Slide27First alert from
surveillance:
excess
number of microcephaly cases following Zika outbreak…
Johansson et al, NEJM 2016
Slide28First alert from
surveillance:
excess
number of microcephaly cases following Zika outbreak…
There were Zika outbreaks well described before, but cases of microcephaly remained unnoticed, probably because these outbreaks occured in small-sized populations :- In French Polynesia, the 2013-2014 Zika outbreak allowed description of association between Zika virus infection and Guillain Barré syndrom. In light of reports from
Brazil
, a
mathematical modelling work retrospectively identified an excess of cases of microcephaly after the outbreak (8 observed vs 1 expected).Cao-
Lormeau et al, Lancet 2016; Cauchemez et al, Lancet 2016
Slide29Case-reports
Reporting
one
well-described case, with molecular identification of the
sequence of Zika virus in the abnormal brain of the fœtus.Reporting one well described case, with identification IgG directed against Zika virus.
Slide30Ecological correlation studies
Ecological
correlation
between low yellow fever coverage and high number of cases of microcephaly related to Zika virus infection…
Slide31Mathematical modelling study
Retrospective
data on
Zika-virus epidemic in French Polynesia 2013-2014
Incidence rate of Zika infection by week Prevalence of infection before and after, by age group ( attack rate in the population)Birth rate in the populationNumber of microcephaly cases recorded and date ( in total 8 cases)No individual data available
on
mother
/child Zika infection statusDesign: mathematical model to explore
which hypothesis on the impact of Zika infection explains best the observed temporal distribution of these 8 cases.Hypothesis: p(t): no impact, impact if 1st trimester, if 1+2, anytime during
pregnancy… Pregnant women (susceptible)Pregnant women (
infected)Normal baby deliveredMicrocephaly casei(t)p(t)Zika outbreak ongoing in population
Cauchemez
et al, Lancet 2016
Slide32Mathematical modelling study
The
observed
distribution of
microcephaly cases was found to be most compatible with an impact of Zika virus infection occuring during trimester 1, 1+2 or 1+2+3.If no association existed with Zika virus, the observed distribution was very different from what is expected (uniform incidence of microcephaly due to other causes).
Estimated
increase in risk of microcephaly due to Zika infection ranging between 20x to 50x depending on the period where infection by the virus is causing defects.
Cauchemez et al, Lancet 2016
Slide33Key points The study question must be precisely identified (PICO)
Design should match the research question
Analysis should match the design
Interpretation should be appropriateStudy findings should be published fully and accurately Planning is vital – trial protocol Methodological input is valuable (essential) at every stage
33
Slide34Quotes
“100% of all disasters are failures of design, not analysis. “
--
Ron Marks, Toronto, August 16, 1994
“There are only a handful of ways to do a study properly but a thousand ways to do it wrong.”-- L Sackett. Rational therapy in the neurosciences: the role of the randomized trial. Stroke, 1986 “To propose that poor design can be corrected by subtle[statistical] analysis techniques is contrary to good scientific thinking.” -- Stuart Pocock (Controlled Clinical Trials, p 58)“Issues of design always trump issues of analysis. “ -- GE Dallal, 1999 (it would be wasted effort to focus on the analysis of data from a study whose design was fatally flawed)