Sentence examples for controls and estimating from inspiring English sources

Exact(1)

The sample size was not determined upon hypothesis testing but was anticipated to provide adequate information about the feasibility of evaluating the impact of NCs on patient outcomes, particularly assessing the logistics of subject recruitment and data collection, the feasibility of selecting matched controls, and estimating the effect sizes on the outcome measures.

Similar(59)

We compared HRV detection among hospitalized patients and controls and estimated enrollment adjusted incidence.

We used haplo.stat (a program in R) to estimate haplotype frequencies, determine if these differed between cases and controls, determine if individual haplotypes differed significantly between cases and controls and estimate an odds ratio for each individual haplotype.[27] Any of the haplotypes that occurred less than 10 times in combined cases and controls were eliminated from the analysis.

11 We used conditional logistic analyses to compare the characteristics of the cases and controls and estimated crude odds ratio and 95% confidence intervals whenever possible.

We studied genotypic distribution for these eight commonly occurring SNPs in 229 cases and 199 controls and estimated the association of each of these polymorphisms with the risk of developing arsenic-induced skin lesions (Table 2).

Observation of ingestive and rumination behaviors of dairy cows may assist in detecting diseases, controlling reproductive status, and estimating intake.

Hence, during each iteration step, the algorithm performs power control step and estimates the beamformers using pilot symbols.

To measure the effects of immigration and emigration on turnout properly, naturally we will have to control for and estimate the impacts of other socio-economic, demographic, political and institutional factors as well.

The quality and purity of RNA were controlled spectrophotometrically and estimated by electrophoresis on a 1% agarose gel.

We applied both approaches to the U133A Affymetrix control dataset, and estimated the absolute concentrations of the 42 transcripts.

We applied a source receptor matrix to determine the PM2.5 concentration changes associated with each control scenario and estimated the mortality reductions.

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