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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.

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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, .

CFI values greater than .95 are often indicative of good tting models (Hu & Bentler, 1999). The CFI is normed to the 0 1 range and does a good job of estimating model t even in small samples (Hu & Bentler, 1998, 1999).

, 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 , .

10.4 Ways of doing the sums: solving physically based models 10.4.1 Options, pros, and cons Before digital computers became widely available, there were only two feasible techniques for indirectly solving physically based mathematical models for large, heterogeneous aquifer systems:

, wi 1 ) and consequently, (s1 , s2 , , si ) The decoding procedures at the end of block i are as follows: 1 Knowing si and upon receiving y1 (i), the relay receiver estimates the message of the transmitter wi = w if and only if there exists a unique w such that (x(w|si ), x1 (si ), y1 (i)) are jointly -typical Using Theorem 1523, it can be shown that wi = wi with an arbi trarily small probability of error if R < I (X; Y1 |X1 ) (15253).

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