Testing two variances for superiority/non‐inferiority and equivalence: Using the exhaustion algorithm for sample size allocation with cost

2019 ◽  
Vol 73 (2) ◽  
pp. 316-332 ◽  
Author(s):  
Jiin‐huarng Guo ◽  
Wei‐ming Luh
Keyword(s):  
Sample Size ◽  
Sample Size Allocation

Spatial variability-based sample size allocation for stratified sampling

CATENA ◽  
2021 ◽  
Vol 206 ◽  
pp. 105509
Author(s):  
Shuangshuang Shao ◽  
Huan Zhang ◽  
Manman Fan ◽  
Baowei Su ◽  
Jingtao Wu ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Sample Size ◽  
Stratified Sampling ◽  
Sample Size Allocation

Sample size allocation in two-phase sampling

1974 ◽  
Vol 3 (11) ◽  
pp. 1025-1040
Author(s):  
J. Sedransk ◽  
Bahadur Singh
Keyword(s):  
Sample Size ◽  
Two Phase ◽  
Sample Size Allocation ◽  
Phase Sampling ◽  
Two Phase Sampling

Estimation of optimum sample size allocation: An illustration with body mass index for evaluating the effect of a dietetic supplement

2019 ◽  
Vol 12 (08) ◽  
pp. 1950086
Author(s):  
Carlos N. Bouza-Herrera ◽  
Sira M. Allende-Alonso ◽  
Gajendra K. Vishwakarma ◽  
Neha Singh
Keyword(s):  
Body Mass Index ◽  
Numerical Methods ◽  
Sample Size ◽  
Body Mass ◽  
Optimal Allocation ◽  
Computing Time ◽  
Optimal Sample Size ◽  
Optimum Sample Size ◽  
Optimal Sample ◽  
Sample Size Allocation

In many medical researches, it is needed to determine the optimal sample size allocation in a heterogeneous population. This paper proposes the algorithm for optimal sample size allocation. We consider the optimal allocation problem as an optimization problem and the solution is obtained by using Bisection, Secant, Regula–Falsi and other numerical methods. The performance of the algorithm for different numerical methods are analyzed and evaluated in terms of computing time, number of iterations and gain in accuracy using stratification. The efficacy of algorithm is evaluated for the response in terms of body mass index (BMI) to the dietetic supplement with diabetes mellitus, HIV/AIDS and cancer post-operatory recovery patients.

scholarly journals Multiple sensitive estimation and optimal sample size allocation in the item sum technique

2017 ◽  
Vol 60 (1) ◽  
pp. 155-173 ◽  
Author(s):  
Pier Francesco Perri ◽  
María del Mar Rueda García ◽  
Beatriz Cobo Rodríguez
Keyword(s):  
Sample Size ◽  
Optimal Sample Size ◽  
Optimal Sample ◽  
Sample Size Allocation
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