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Questions tagged [adjustment]

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150 questions
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3 votes
2 answers
218 views

I am associating muscle strength (continuous variable) with muscle gene expression using linear modeling in limma R package to examine RNA sequencing-based muscle transcriptome data of about 20,000 ...
user4045's user avatar
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1 vote
1 answer
89 views

So, supposing I'm carrying out a field experiment (agricultural data), and I'm interested to understand how four plant genotypes affect three dependent variables (yield, height, and number of leaves). ...
Moisés Feitosa's user avatar
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3 votes
1 answer
94 views

I am analyzing data with a regression model where the independent variable of interest is a treatment, and I want to estimate its effect. I aim to adjust this estimate for a set of covariates, ...
Stat Pawn's user avatar
  • 31
0 votes
0 answers
38 views

I have data in a case-control format with a 5-year lag of exposure. I want to adjust, in addition to the strata, for the number of monitoring stations used to calculate the exposure. The problem is ...
Nitzan Sagie's user avatar
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1 vote
2 answers
111 views

For example, the postprandial time significantly influences blood glucose levels, with higher levels observed when the postprandial time is short. Elevated blood glucose is a risk factor for stroke, ...
li jiaqi's user avatar
  • 49
1 vote
1 answer
171 views

I feel like this question is mostly about how to translate vague documentation into math than a statistics question per se, but please bear with me. I am reading the Canadian Institute for Health ...
Galen's user avatar
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0 votes
1 answer
592 views

I have a longitudinal RCT data, aiming to compare the superiority of one group with high exercising to the other group with low exercising to see the improving of pain (pain is outcome). Data is ...
user358238's user avatar
  • 139
2 votes
1 answer
146 views

Four variables $X$, $Y$, $A$, and $B$ are assumed to have relationships as in the following diagram: Here, $X$ is the predictor and $Y$ is the outcome variable. Suppose that the research interest is ...
bluepole's user avatar
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0 votes
1 answer
157 views

In order to leverage a cox model for calculating adjusted survival curve - one must estimate the baseline hazard function. To my understanding this has to be estimated (non parametrically) for ...
Biased estimator's user avatar
  • 3
0 votes
1 answer
49 views

How should I do the p-value adjustment for several post hoc comparisions. Should I adjust them all at once. Or should I adjutment per comparsion. Suppose ...
ElR's user avatar
  • 37
3 votes
1 answer
127 views

I would like to make an adjustment on a baseline variable (which has a small imbalance).This is a post hoc adjustment (I recognize, however, the limits of this adjustment which has not been pre-...
Seydou GORO's user avatar
  • 939
5 votes
1 answer
370 views

I have a following picture and the assumption that I can estimate the effect of Treatment on Growth by accounting for dT. However, I'm not sure if Unobserved confounder is actually a confounder - it ...
Maria Li's user avatar
  • 53
0 votes
1 answer
92 views

my group project has a number of independent binary variables x1,x2,...,xm and a dependent binary variable y. My dataset contains some million of rows. Since there are so many independent variables, ...
Ronald Carlos's user avatar
  • 103
2 votes
2 answers
770 views

I am wondering how would the slope and intercept change after adjusting for a confounder factor. After adjustment, would the slope be lower, or higher, and the value for the intercept? Is there any ...
COCONUT's user avatar
  • 21
1 vote
1 answer
1k views

I have data for a simple 2-arm RCT, that looks as follows: ...
lethalSinger's user avatar
  • 113

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