Evaluating Public Health Interventions: 3. The Two-Stage Design for Confounding Bias Reduction-Having Your Cake and Eating It Two.

Abstract:

:In public health evaluations, confounding bias in the estimate of the intervention effect will typically threaten the validity of the findings. It is a common misperception that the only way to avoid this bias is to measure detailed, high-quality data on potential confounders for every intervention participant, but this strategy for adjusting for confounding bias is often infeasible. Rather than ignoring confounding altogether, the two-phase design and analysis-in which detailed high-quality confounding data are obtained among a small subsample-can be considered. We describe the two-stage design and analysis approach, and illustrate its use in the evaluation of an intervention conducted in Dar es Salaam, Tanzania, of an enhanced community health worker program to improve antenatal care uptake.

journal_name

Am J Public Health

authors

Spiegelman D,Rivera-Rodriguez CL,Haneuse S

doi

10.2105/AJPH.2016.303250

subject

Has Abstract

pub_date

2016-07-01 00:00:00

pages

1223-6

issue

7

eissn

0090-0036

issn

1541-0048

journal_volume

106

pub_type

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