Example sentences for: stepwise

How can you use “stepwise” in a sentence? Here are some example sentences to help you improve your vocabulary:

  • However, when a stepwise regression model was used, two variables emerged of the potential significance which could explain most the heterogeneity of our results: (in)adequacy of allocation concealment (p = 0.026) and Hb cut-off value of 11.

  • Protein in positive elution fractions was refolded to native structure by serial dialysis against buffer D (20 mm HEPES, 0.1 M KCl, 0.2 mm EDTA, 0.5 mm dithiothreitol, 0.5 mm phenylmethylsulfonyl fluoride, 20% glycerol) containing stepwise decreasing concentrations of urea (6 M for 2 hours, 4 M for 2 hours, 2 M for 2 hours, no urea for 12 hours).

  • 5 - 3.5 mM) there were stepwise increases in developed pressure, and developed pressures with dobutamine were significantly higher than perfusate calcium 3.5 mM (Figure 1A).

  • The independent associations between patient factors and hospitalizations for poisonings were examined using multivariate analysis with stepwise Cox Regression (likelihood ratio method) including recipient and donor age, recipient race, gender, weight, pretransplant dialysis (yes/no), year of transplant, duration of dialysis prior to transplantation, total follow-up time, repeat transplant, donor cytomegalovirus serology, dialysis in the first week after transplant (delayed graft function, yes/no), rejection (diagnosis or treatment) occurring during the first six months after transplant, induction antibody therapy, maintenance immunosuppressive medications at time of discharge after transplant surgery, graft loss (analyzed as a time-dependent covariate as previously described), [ 9 ] and cause of ESRD (diabetes, systemic lupus erythematosus (because of the potential effect of corticosteroid therapy prior to renal transplantation), hypertension and glomerulonephritis).

  • In executing the stepwise logistic regression procedure, a selection criterion of p ≤ .2 was selected to allow for the evaluation of the joint effect of multiple variables.


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