autoimmune or nodular diseases. The total number of 307 patients and 206 controls satisfied the criteria of the power analysis, requiring a minimum sample size of 164 patients. Written informed consent was obtained from all the participants, who donated a
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Marco Marino, Valentina Cirello, Valentina Gnarini, Carla Colombo, Elisa Pignatti, Livio Casarini, Chiara Diazzi, Vincenzo Rochira, Katia Cioni, Bruno Madeo, Cesare Carani, Manuela Simoni, and Laura Fugazzola
Brendan J Nolan, Aviva S Frydman, Shalem Y Leemaqz, Meg Carroll, Mathis Grossmann, Jeffrey D Zajac, and Ada S Cheung
testosterone concentration were measured via immunoassays available for routine clinical care in Australia. All laboratories are accredited by the National Association of Testing Authorities. Sample size determination Power calculation was based on the
Yang Lv, Ning Pu, Wei-lin Mao, Wen-qi Chen, Huan-yu Wang, Xu Han, Yuan Ji, Lei Zhang, Da-yong Jin, Wen-Hui Lou, and Xue-feng Xu
3). According to the 2010 WHO classification, high-grade G3 rectal neuroendocrine carcinomas (NECs) were defined as a tumor with Ki-67 proliferation index greater than 20% or mitotic rate greater than 20 per 10 high power fields ( 3 ). NECs are
Piera Rizzolo, Valentina Silvestri, Virginia Valentini, Veronica Zelli, Agostino Bucalo, Ines Zanna, Simonetta Bianchi, Maria Grazia Tibiletti, Antonio Russo, Liliana Varesco, Gianluca Tedaldi, Bernardo Bonanni, Jacopo Azzollini, Siranoush Manoukian, Anna Coppa, Giuseppe Giannini, Laura Cortesi, Alessandra Viel, Marco Montagna, Paolo Peterlongo, Paolo Radice, Domenico Palli, and Laura Ottini
control’s series) and a dominant model, with a case–control ratio of 1:1.7 (597 cases and 1022 controls), we could identify an OR of 1.45 with a power of 90% and alpha = 0.05. Chi-square test was performed in a case-by-case analysis in order to evaluate
Nandini Shankara Narayana, Lam P Ly, Veena Jayadev, Carolyn Fennell, Sasha Savkovic, Ann J Conway, and David J Handelsman
comprising age, measures of body size or physique, serum hormones, and a subject term as a random variable using restricted maximum likelihood with a one-term autoregressive covariance structure. The relative explanatory power of different models was
Luca Giovanella, Maria Luisa Garo, Domenico Albano, Rainer Görges, and Luca Ceriani
included in the meta-analysis ( 10 ). A sensitivity analysis was performed to examine whether overall findings were robust to the chosen analysis method. Finally, the power of meta-analysis was calculated using the metapow command. Meta-analysis was
Maria Luisa Brandi, Stefania Bandinelli, Teresa Iantomasi, Francesca Giusti, Eleonora Talluri, Giovanna Sini, Fabrizio Nannipieri, Santina Battaglia, Riccardo Giusti, Colin Gerard Egan, and Luigi Ferrucci
characteristic curve (ROC) analysis (expressed as area under the curve; AUC, odds ratio (OR) and respective 95% CIs) was used to assess the predictive power of BPA levels to identify individuals having deficient levels of 25(OH)D (i.e. <20 ng/mL) ( 21 ). A P
L Bahler, H J Verberne, E Brakema, R Tepaske, J Booij, J B Hoekstra, and F Holleman
procedures performed in this study were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Power analysis Power calculation
Mohammed S Albreiki, Benita Middleton, and Shelagh M Hampton
towards the lights ( n = 221; DL 1.21 ± 0.13, BL 552.7 ± 16; mean ± s.e.m. ). Spectral composition of the light source was measured using a R203 power radiometer at horizontal (DL 0.001 w/m 2 , BL 0.98 w/m 2 ) and vertical level (DL 0.0008 w/m 2 , BL 0
Signe Frøssing, Malin Nylander, Caroline Kistorp, Sven O Skouby, and Jens Faber
study ( 24 ) and detailed information on design has previously been reported ( 21 ). Statistical analyses Change from baseline in the MR-proADM level was a secondary endpoint in the LIPT study. Power analysis performed on the primary endpoint
