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The approach is based on signal-to-noise separation methods and explanatory extreme value (EV) modeling of multisite rainfall extremes.
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In the simulations it turns out that the M-tests for the linear model with NSD errors are insensitive to different choices of M-methods and explanatory variables, therefore it shows robustness, which illustrates that the M-test is effective.
The outcome variable of the study was awareness on contraceptive methods, and the explanatory variables included were socio-demographic status; educational level of participants' parents; sexual and reproductive health characteristics; media exposure; and reported discussion with peer and parent about sexual and reproductive health issues.
Other lung-focused stress networks have been generated using systems biology data (specifically gene expression profiling), however they differ in their construction methods, content, applications, and explanatory power.
We used forward step wise method and identified explanatory candidate variables (p ≤ 0.1) for inclusion in adjusted models as plausible predictors of treatment failure.
In the past, such comparisons have been conducted only for extrapolative methods (Booth et al. 2006; Shang et al. 2011) but also for extrapolative and explanatory methods (Stoeldraijer et al. 2013), including methods that even use etiological data such as smoking and nonsmoking-related mortality (Janssen et al. 2013; Wang and Preston 2009).
Methodology of the empirical investigation includes an inductive case study approach that employs descriptive and explanatory methods.
We performed a mixed-method study including formative and explanatory qualitative components and a pilot intervention study at the seven DOTS-plus centres that existed in the Kathmandu Valley at the time of the study.
These include, most importantly, functionalism, many types of sociobiology, "memetics" or evolutionary cultural explanation, psychoanalytic and "depth hermeneutic" methods, and any form of explanatory generalization grounded in purely statistical analysis.
Pesaran and Shin (1999) have shown that the ARDL method can distinguish between dependent and explanatory variables, and the estimation is possible even when the explanatory variables are endogenous (Pesaran and Pesaran 1997; Pesaran et al. 2001).
Adopting this perspective introduces a whole new set of biological questions and explanatory aims and corresponding methods.
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