Index
Module 2 • Research Methods
Research Design, Biostatistics & Literature Evaluation
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Research Design, Biostatistics & Literature Evaluation
Julie E. Farrar ~3 min read Module 2 of 20
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Research Design, Biostatistics, and Literature Evaluation

Observation bias: Observers (research team) are aware of the research purpose and allow this

knowledge to influence interpretation of results.

Recall bias: Methodological error that is introduced in survey research when the participant is asked

to provide recall of a past event

d.Misclassification bias: Inappropriately categorizing a group of patients with, or without, the disease/

syndrome

Immortal time bias: Occurs when populations studied include an exposed and unexposed group

without a predefined time-zero. This results in a delay before a subject is considered treated.

Given that the subjects must survive up until the time of first exposure, the time before exposure is

considered immortal time (Am J Respir Crit Care Med 2003;168:49-53).

Measurement bias: When information collected for use as a study variable is inaccurate

Confounding variables: Extraneous variables that influence both the dependent and the independent

variable, affecting how the overall result can be interpreted

Residual confounding occurs when unmeasured variables may affect overall outcome results.

This can only be avoided with randomization (Int J Public Health 2010;55:701-3).

ii.

Confounding by indication occurs when a contributor to the outcome is present in those at

high risk and is an indication for intervention. This results in care differences between the

exposed and nonexposed groups that may be based on differences in indication for exposure

(Pharmacoepidemiol Drug Saf 2003;12:551-8).

Bias can be minimized with sufficient planning for design, data collection, and analysis (i.e., β€œeffect

modification”).

4

Sensitivity analysis: These may be used to determine robustness of study findings in different analysis

methods or in the presence of unmeasured confounding. They may also be used to detect misclassification

(Am J Respir Crit Care Med 2018;198:859-67).
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Approaches to control for bias:

Study design: Randomization, matching

Propensity score matching

(a)This method in theory allows for design and analysis of observational studies to mimic

aspects of a randomized controlled trial.

(b)The propensity score itself distributes observed baseline covariates similarly between

treated and untreated subjects to create a certain number of matched sets.

(c)Caution should be exercised because propensity scores ensure balance only in observed

covariates, where randomization ensures balance between both observed and unobserved

covariates.

Analysis: Multivariable analysis, matching potential confounding variables with a controlled cohort

(discussed in detail in next section)

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