Cox proportional hazards (PH) regression is a well-known model for analyzing survival data and its strengths are widely recognized. Threshold regression (TR) is a relatively new methodology but one that is receiving greater attention and being used successfully by researchers in different fields, including biopharmaceutical statistics. In threshold regression, event times are modeled by a stoch...

ABSTRAKKondisi kendaraan yang saling bergerak pada sistem komunikasi Vehicle-to-Vehicle (V2V) menyebabkan daya sinyal diterima berfluktuasi. Selain itu, dengan adanya pergeseran frekuensi Doppler mengakibatkan semakin sulitnya menjaga level Bit Error Rate (BER) kurang dari 0,001. Mengubah threshold channel gain modulasi adaptif adalah salah satu metode dapat diterapkan untuk performansi tanpa m...

this paper investigates the possibility of both linear and nonlinear effects of energy consumption on economic growth in iran, using data for the period of 1959–2007 based on threshold regression. some previous studies support the view that energy consumption may promote economic growth. however, the conclusion drawn from this study suggests that such relationship exists only where there is a l...

regarding the important role of health in economic growth and development, the purpose of the present paper is to investigate the impact of life expectancy, as the most important indicator of health, on economic growth in iran during 1965-2009. the estimated smooth transition regression (str) model supports a nonlinear threshold behavior in the relationship between life expectancy and economic ...

When patients receive an intervention based on whether they score below or above some threshold value on a continuously measured random variable, the intervention will be randomly assigned for patients close to the threshold. The regression discontinuity design exploits this fact to estimate causal treatment effects. In spite of its recent proliferation in economics, the regression discontinuit...

When patients receive an intervention based on whether they score below or above some threshold value on a continuously measured random variable, the intervention will be randomly assigned for patients close to the threshold. the regression discontinuity design exploits this fact to estimate causal treatment effects. in spite of its recent proliferation in economics, the regression discontinuit...