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Cancer is another serious medical problem that is of interest to contemporary clinical psychologists. Principles of the biopsychosocial perspective offer assistance in understanding the disease as well as in developing intervention strategies for prevention and rehabilitation (B. L. Andersen, 1996, 2002). Cancer is the second leading cause of death in the United States, affecting approximately 25% of the population and killing about 550,000 people per year (American Cancer Society, 1997, 2000; S. Taylor, 2003). Deaths associated with cancer have increased steadily during the past twentieth century with large increases in lung cancer (especially among women) and both breast and prostate cancer (American Cancer Society, 1996). However, in most recent years, the death rate from cancer has actually decreased by about 3% due to improvements in cancer detection and treatment (J. Brody, 1996; S. Taylor 2003). Cancer is a general term that subsumes more than 100 types of illnesses that have several similarities (S. Taylor,

VBA s GetObject and CreateObject functions both return a reference to an object, but they work in different ways. The CreateObject function is used to create an interface to a new instance of an application. Use this function when the application is not running. If an instance of the application is already running, a new instance is started. For example, the following statement starts Excel, and the object returned in XLApp is a reference to the Excel.Application object it created.

If missingness on a variable Y depends on the variable itself, such as when a drug user in a drug use prevention study avoids a measurement session because he is using drugs, this is referred to as missing not at random (MNAR) If missingness on Y does not depend on Y itself, this is referred to as missing at random (MAR) One example of this would be missingness caused by poor readers failing to nish a questionnaire The special case of MAR in which the cause of missingness is completely unrelated to Y is referred to as missing completely at random (MCAR) For a thorough introduction to modern missing data procedures, see the chapter by Graham, Cumsille, and Elek-Fisk in this volume Most LCA procedures, including WinLTA (Collins & Wugalter, 1992; Hyatt & Collins, 2000), employ a maximum likelihood routine that adjusts for missing data.

into 2nR0 cells, with Si Sj = , i = j , and Si = W The partition will enable us to send side information to the receiver in the manner of Slepian and Wolf [502] Generation of random code: Fix p(x1 )p(x|x1 ) n First generate at random 2nR0 iid n-sequences in X1 , each n drawn according to p(x1 ) = i=1 p(x1i ) Index them as x1 (s), s {1, 2, , 2nR0 } For each x1 (s), generate 2nR conditionally independent n-sequences x(w|s), w {1, 2, , 2nR }, drawn independently according to p(x|x1 (s)) = n p(xi |x1i (s)) This de nes the random codei=1 book C = {x(w|s), x1 (s)} The random partition S = {S1 , S2 , , S2nR0 } of {1, 2, , 2nR } is de ned as follows Let each integer w {1, 2, .

, 2nR } be assigned independently, according to a uniform distribution over the indices s = 1, 2, , 2nR0 , to cells Ss Encoding: Let wi {1, 2, , 2nR } be the new index to be sent in block i, and let si be de ned as the partition corresponding to wi 1 (ie, wi 1 Ssi ) The encoder sends x(wi |si ) The relay has an estimate w i 1 of the previous index wi 1 (This will be made precise in the decoding section) Assume that wi 1 Ss i The relay encoder sends x1 (si ) in block i Decoding: We assume that at the end of block i 1, the receiver knows (w1 , w2 , , wi 2 ) and (s1 , s2 , , si 1 ) and the relay knows (w1 , w2 , .